Graham J. Mann

Australian National University — Australia

Medicine · Health Sciences

129h-index104.3kcitations915works4.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Cutaneous Melanoma Detection and Management(201), BRCA gene mutations in cancer(157), Cancer Genomics and Diagnostics(151), Melanoma and MAPK Pathways(117), Genetic Associations and Epidemiology(71)

Publications752 total

Supplementary Data1 from Tumor miRNA Signatures Associate with Outcomes of Patients with Stage II/III Melanoma
2025Open Access
Supplementary Figures1 from Tumor miRNA Signatures Associate with Outcomes of Patients with Stage II/III Melanoma
2025Open Access
A blueprint for mutation-defined hallmark vulnerabilities across human cancers
2025Open Access
Tumor miRNA Signatures Associate with Outcomes of Patients with Stage II/III Melanoma
Clinical Cancer Research·2025
Parity and lactation induce T-cell-mediated breast cancer protection
Nature·2025· 6 citedOpen Access
GenoGraph: An Interpretable Graph Contrastive Learning Approach for Identifying Breast Cancer Risk Variants
IEEE Transactions on Computational Biology and Bioinformatics·2025Open Access
Ratio of Distal to Proximal Epidermal Nerve Fiber Density in Small Fiber Neuropathy
RRNMF Neuromuscular Journal·2025Open Access
Supplementary Figure 9 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Supplementary Figure 1 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Supplementary Figure 6 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Supplementary Figure 11 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Table S4 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Table S2 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Supplementary Figure 4 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Supplementary Figure 13 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Data from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Table S3 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Table S5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Supplementary Figure 10 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
Supplementary Figure 5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
2025Open Access
page 1 of 38Next →

Frequent Co-authors

Graham G. Giles(19), Melissa C. Southey(18), John L. Hopper(17), Carl Blomqvist(17), Heli Nevanlinna(16), Marjanka K. Schmidt(16), Alison M. Dunning(16), Peter A. Fasching(16), Stig E. Bojesen(16), Jenny Chang‐Claude(16), Hiltrud Brauch(15), Thilo Dörk(14), Roger L. Milne(14), Nicholas K. Hayward(13), Matthias W. Beckmann(13), Barbara Burwinkel(13), Annika Lindblom(13), Richard Kefford(12), Kristiina Aittomäki(12), Irene L. Andrulis(12)